Digital Analysis Network

One of the most pressing problems faced by traditional data analytics projects is the massive “hairball” of disorganized and disconnected communication across personnel, teams, disciplines, sites, systems, information, processes, and activities. Cahaba Safeguard designed the Digital Analysis Network specifically to solve this problem. This comprehensive digital environment is a symbiotic set of data and automation tools that automates and manages all information, communication and workflow. Furthermore, it stores all existing learned knowledge, creating a deep and diverse healthcare data knowledge repository.

The Digital Analysis Network functions in an "adaptive, learning" way in that it is constantly evolving, growing and gaining accuracy as new information gleaned from each resolved project is fed back into the system to build upon prior models and experience. Our neural networks and analytical models grow in sophistication quickly and accurately as we apply prior knowledge to the models. This is a direct benefit to our clients: the knowledge gleaned from multiple terabytes of data and years of analysis and research, applied directly to your data.